Search Results (345)

As urbanization accelerates globally, preserving and developing historical cultural districts is increasingly critical, especially in areas with unique historical and cultural value. To understand the development of urban construction and the diachronic and spatial patterns of development, this paper focuses on Guiyang, a key transportation hub in Southwest China connected to Southeast Asia. It examines the historical districts from four representative periods: the early Ming Dynasty (1413–1420), the early Qing Dynasty (1616–1626), the Republican era (1912–1949), and the 1980s (1980–1990). Employing complex network analysis, the study investigates the changes in the connectivity characteristics of construction land and road networks. Key findings reveal: (1) Stability: The construction land networks stability decreased steadily from the early Ming period to the 1980s, whereas the road network density exhibited a wave-like decline. (2) Centrality: The construction land networks centrality decreased linearly, and the road network density exhibited a wave-like decrease. (3) Vulnerability: Both networks showed increased vulnerability, with fluctuations in the road network during the early Qing period, but generally reduced vulnerability. The analysis also indicates that changes in the connectivity of Guiyang’s historical district construction land and road networks are influenced by shifts in social structures, improvements in productivity, and the physical geography of the area. In mountainous cities with limited terrain, urban forms have transitioned from single-center aggregation to multi-center aggregation, and areas where administrative expansion is not feasible have adopted compact spatial development strategies. The application of complex network analysis has proven effective in urban spatial studies, revealing that changes in construction land and road networks reflect multifaceted internal transformations in society, politics, economy, military, and culture, significantly impacting the formation of a diverse yet unified national identity. Based on these findings, this paper offers recommendations for the planning and development of mountainous cities globally. Full article

Grief is often seen as a personal response to losing a loved one, but it can also arise from the loss of deeply held values and identities linked to social, structural, and religious spheres. Political grief is a unique form of this, stemming from political policies, laws, and social messaging that certain groups perceive as losses. As societies face political decisions and systemic failures, grief can emerge from losing trust in institutions, shared beliefs, and a sense of belonging. An outgrowth of political grief is a strain on relationships due to polarization, heightened by threat-activating events and resulting tensions. Many people turn to religion to counter feelings of vulnerability and incoherence in today’s political climate. While this may relieve anxiety and provide stability, it can also exacerbate some sources of grief. Understanding these dimensions is crucial for addressing political grief’s broader implications, as individuals and communities seek meaning and attempt to rewrite their narratives in adversity. This discussion includes defining grief beyond death-loss and exploring the interplay between social/political structures and culture. It also considers specific threats and responses, including religious alignment, focusing on recent events in the United States. Full article

This paper aims at addressing sustainability concerns in vulnerable insular territories. Such concerns are due to the rising overtourism phenomenon that affects islands at a rapidly escalating pace and renders sustainable local development of these outstanding areas—from a natural and cultural viewpoint—at stake. Towards this end, this work capitalizes on current literature and attempts to structure a methodological framework and a respective set of indicators’ groups that are capable of assessing dimensions of overtourism in each single tourism destination, thus providing evidence-based and more robust guidelines for articulating policy decisions that can remedy incidents of overtourism. The proposed methodological framework follows a place-based approach and combines tourism demand and supply data with environmental, social, economic and spatial data and respective indicators for assessing the tourism density and intensity of each destination’s tourism pattern and related multi-dimensional impacts. Validation of both the proposed framework and indicators’ groups is conducted in Santorini Island, Greece, i.e., an island that lies at top positions of many lists of destinations, marked as suffering by overtourism. Results show that Santorini Island is confronted with severe overtourism impacts, which are highly affecting its identity, productive model and spatial pattern, while endangering its natural and cultural wealth. Full article

Background/Objectives: The spread of antimicrobial resistance (AMR) is a growing global health concern. Wild animals can play an important role in the amplification and dissemination of AMR and in conservation efforts aiming at controlling diseases in vulnerable wild animal populations. These animals can serve as reservoirs for antibiotic resistance genes and are key in the spread of AMR across ecosystems and hosts. Therefore, monitoring AMR in wild animals is crucial in tackling the spread of resistance in the environment and human population. This study investigated the phenotypic and genotypic resistance of Escherichia coli (E. coli) isolated from semi-wild oryx (Oryx leucoryx) in Qatar. Methods: One hundred fecal samples were collected from oryx in diverse natural reserves across Qatar. A selective agar medium was used to isolate E. coli, and the identity of the isolates was further confirmed using the VITEK^® 2 Compact system. The Kirby–Bauer disk diffusion method was used to test antibiotic susceptibility. Genetic resistance determinants were identified through polymerase chain reaction (PCR) analyses and sequencing using the Oxford Nanopore Technology (ONT). Results: The results revealed that 18% (n = 18) of the samples harbored E. coli with resistance to a single antibiotic, 28% (n = 28) were resistant to at least one antibiotic, and 2% (n = 2) were multidrug-resistant (MDR). No resistance was observed against colistin. tetA and tetB encode tetracycline resistance were the most frequently detected genes (57.7%). Whole genome sequencing (WGS) was used to expand on AMR gene-PCR analyses and analyze the resistome of 12E. coli isolates. WGS identified several important antibiotic resistance determinates, including bla_CTX-M-encoding Extended Spectrum Beta-Lactamase (ESBL) resistance, soxR associated with tetracycline target alteration, and mdtE, emrB, AcrE, mdtF, and marA related to ciprofloxacin efflux pump resistance. Conclusions: This study provides essential information regarding AMR in Qatari semi-wild animals, which will guide conservation strategies and wildlife health management in a world experiencing increasing antibiotic-resistant infections. Furthermore, these findings can inform policies to mitigate AMR spread, improve ecosystems, and enhance public and environmental health while paving the way for future research on AMR dynamics in wildlife. Full article

The article proposes a cryptographic system with absolute security features for use in authenticating access to resources in smart grid systems, taking into account prosumer solutions to ensure a high level of security of transactions on the energy market that meet the requirements established in the Directive of the European Parliament of 14 December 2022 no. 2555 NIS2, requiring “dynamic authentication” prior to the release of transaction data for key services, covers energy market operators as a key service and is particularly important for ensuring security. The article presents an innovative cryptographic system that, according to the authors’ knowledge, is the only one in the world that meets the NIS2 requirements in the field of “dynamic authentication” and the Quantum-Resistant requirements intended for distributed systems and smart grids. The proposed solution eliminates vulnerabilities related to digital identity theft and its reuse, i.e., practically eliminates the possibility of impersonation. Full article

As robotic systems become more integrated into our daily lives, there is growing concern about cybersecurity. Robots used in areas such as autonomous driving, surveillance, surgery, home assistance, and industrial automation can be vulnerable to cyber-attacks, which could have serious real-world consequences. Modern robotic systems face a unique set of threats due to their evolving characteristics. This paper outlines the SESAME project’s methodology for the automated security analysis of multi-robot systems (MRS) and the production of Executable Digital Dependability Identities (EDDIs). Addressing security challenges in MRS involves overcoming complex factors such as increased connectivity, human–robot interactions, and a lack of risk awareness. The proposed methodology encompasses a detailed process, starting from system description and vulnerability identification and moving to the generation of attack trees and security EDDIs. The SESAME security methodology leverages structured repositories like Common Vulnerabilities and Exposures (CVE), Common Weakness Enumeration (CWE), and Common Attack Pattern Enumeration and Classification (CAPEC) to identify potential vulnerabilities and associated attacks. The introduction of Template Attack Trees facilitates modeling potential attacks, helping security experts develop effective mitigation strategies. This approach not only identifies, but also connects, specific vulnerabilities to possible exploits, thereby generating comprehensive security assessments. By merging safety and security assessments, this methodology ensures the overall dependability of MRS, providing a robust framework to mitigate cyber–physical threats. Full article

In recent years, the disruption of the prefabricated building supply chain has led to increased construction period delays and cost overruns, limiting the development and popularization of prefabricated buildings in China. Therefore, this study established a vulnerability evaluation index system for the prefabricated building supply chain using the driving force–pressure–state–impact–response (DPSIR) framework. We employed the intuitionistic fuzzy analytic hierarchy process (IFAHP), the projection pursuit (PP) model, and variable weight theory to determine the indicator weights. The IFAHP was utilized to reduce the subjectivity in weight assignment and to obtain the degree of membership, non-membership, and hesitation of experts in evaluating the importance of indicators. The PP model was used to determine objective weights based on the structure of the evaluation data, and variable weight theory was applied to integrate subjective and objective weights according to management needs. We utilized Set Pair Analysis (SPA) to establish a vulnerability evaluation model for the building supply chain, treating evaluation data and evaluation levels as a set pair. By analyzing the degree of identity, difference, and opposition of the set pair, we assessed and predicted the vulnerability of the building supply chain. Taking the Taohua Shantytown project in Nanchang as a case study, the results showed that the primary index with the greatest influence on the vulnerability of the prefabricated building supply chain was the driving force, with a weight of 0.2692, followed by the secondary indices of market demand and policy support, with weights of 0.0753 and 0.0719, respectively. The project’s average vulnerability rating was moderate (Level III), and it showed an improvement trend. During the project’s implementation, the total cost overrun of the prefabricated building supply chain was controlled within 5% of the budget, the construction period delay did not exceed 7% of the plan, and the rate of production safety accidents was below the industry average. The results demonstrated that the vulnerability assessment method for the prefabricated building supply chain based on SPA comprehensively and objectively reflected the vulnerability of the supply chain. It is suggested to improve the transparency and flexibility of the supply chain, strengthen daily management within the supply chain, and enhance collaboration with supply chain partners to reduce vulnerability. Full article

With the advent of NextG wireless networks, the reliance on centralized identity and service management systems poses significant challenges, including limited interoperability, increased privacy vulnerabilities, and the risk of unauthorized tracking or monitoring of user activity. To address these issues, there is a critical need for a decentralized framework that empowers users with self-sovereignty over their subscription information while maintaining trust and privacy among network entities. This article presents a novel framework to enable Self-Sovereign Federated NextG (SSFXG) wireless communication networks. The SSFXG framework separates identity management from the service management layer typically controlled by network operators to foster interoperability functionalities with enhanced privacy and trace-resistant assurances in the NextG landscape. The proposed model relies on blockchain technology as an infrastructure to enable single-authority-free service provisioning and boost mutual trust among federated network components. Further, the SSFXG framework facilitates subscribers’ self-sovereignty over their subscription information while ensuring anonymity and enhanced privacy preservation, avoiding unnecessary network activity monitoring or tracking. Preliminary evaluations demonstrated the effectiveness and efficiency of the proposed framework, making it a promising solution for advancing secure and interoperable NextG wireless networks. Full article

This qualitative study explores the interactions among gifted students’ vulnerabilities, stressors, supports, and coping mechanisms at a public, high-achieving residential high school. Qualitative interviews (n = 12) revealed that teachers caused stress by (a) failing to provide academic challenges and/or (b) failing to support students’ diverse identities; conversely, teachers provided support when they were available, enthusiastic, and understanding. Further, peers added stress through class rank competition but fostered support through accepting diverse identities and building friendships. In general, students heavily relied on problem-focused coping to address academic stress (e.g., changing schools, advocacy), yet had minimal adaptative coping strategies to address social stress. Students also discussed hybrid coping approaches, like extracurriculars and counseling. These findings suggest that interventions, such as teacher training and peer support programs, should address specific vulnerabilities, including diverse identities, and provide direct instruction in developing coping strategies to address social stressors. Full article

In recent years, with the widespread application of UAV swarm, the security problems faced have been gradually discovered, such as the lack of reliable identity authentication, which makes UAVs vulnerable to invasion. To solve these security problems, a lightweight secure communication scheme supporting batch authentication for UAV swarm is proposed. Firstly, a layered secure communication model for UAV swarm is designed. Then, a secure transmission protocol is implemented by using elliptic curves under this model, which not only reduces the number of encryptions but also ensures the randomness and one-time use of the session key. Moreover, a UAV identity authentication scheme supporting batch signature verification is proposed, which improves the efficiency of identity authentication. The experiments show that, when the number of UAVs is 60, the computation cost of the proposed scheme is 0.071 s, and the communication cost is 0.203 s, fully demonstrating the efficiency and practicability of the scheme. Through comprehensive security analysis, the capability of the proposed scheme to resist various attacks is demonstrated. Full article

The education sector has witnessed a significant shift towards digitising student records, with relevant data now stored in centralized data repositories. While traditional identity management solutions in education are functional, they often face various challenges, including data privacy concerns, limited portability, and reliability challenges. As the volume of student data continues to grow, inadequate data management practices have led to several problems. These include students losing control and empowerment over their educational information, increased vulnerability to potential data breaches and unauthorized access, a lack of transparency and accountability, data silos and inconsistencies, and administrative inefficiencies. To address these limitations, the implementation of a blockchain-assisted self-sovereign identity (Ba-SSI) concept in the education system presents a viable solution. Self-sovereign identity (SSI) represents a paradigm shift from traditional centralized identity systems, allowing individuals to maintain full control of their identity data without relying on centralized authorities. By leveraging the decentralized nature, SSI frameworks can ensure security, interoperability, and scalability, thereby improving user-centric identity management. This survey paper explores the potential of Ba-SSI within the context of education. It thoroughly reviews the current state of digital identity management in education, highlighting the limitations of conventional systems and the emerging role of blockchain technology in addressing these challenges. The paper discusses the fundamental principles of blockchain technology and how it can be utilized to enhance security, interoperability, and scalability in identity management. Additionally, it examines the insights and benefits of this approach for the education system. Finally, the paper concludes by addressing the issues, challenges, benefits, and future research directions in this domain, underscoring the potential of Ba-SSI solutions to revolutionize the management and empowerment of student data within the education sector. Full article

Background/Objectives: Adolescence is a developmental stage characterized by profound physical and psychological transformations, often leading to vulnerabilities such as body dissatisfaction, identity challenges, and the use of maladaptive coping strategies. This often leads to body-related psychopathologies, including headaches, restrictive eating disorders, and non-suicidal self-injury (NSSI). The present study aimed to describe the typical functioning and features of these conditions and the differences between the three groups, and to identify the most effective assessment for predicting these conditions. Methods: Sixty adolescent patients (51 female; mean age = 15.34 ± 1.80) were divided into three groups: headaches, restrictive eating disorders, and NSSI, and assessed for differences in symptoms, cognitive performance, personality, functioning, and illness severity using semi-structured interviews, clinician-based scales, and performance-based tests like the Rorschach inkblot test, according to the Rorschach Performance Assessment System (R-PAS). Results: Individuals with headaches experienced more internalizing symptoms, had an average IQ, maintained some functioning areas, and had distorted patterns of self–other relationships with the tendency to project malevolent aspects onto others. Patients with restrictive eating disorders had high levels of depressive symptoms, above-average IQ scores, negative symptoms, moderate presence of obsessive–compulsive personality traits, disorganized thinking, and a tendency to interpret situations subjectively. Patients with NSSI showed the highest level of depressive symptoms and social anxiety symptoms, and a considerable presence of psychotic symptoms and perceptual distortions. Negative symptoms, borderline personality traits, and psychosis symptoms had the strongest predictivity. Conclusions: The study provides clinicians with relevant insights into the features of these conditions and highlights assessment strategies, tailored interventions, and enhanced outcomes for these vulnerable populations. Full article

Background/Objectives: This study explores how narratives can act as therapeutic tools for Latin American immigrant women residing in the Region of Murcia, Spain. The objective is to analyse how the act of narrating their migratory experiences contributes to emotional relief, the re-signification of their trajectories, and the construction of resilience, while strengthening identity and fostering a sense of belonging in contexts marked by exclusion and inequalities in gender and class. Methods: A qualitative methodology was used with a narrative and gender approach. The field work was carried out between 2022 and 2023, with a sample of 20 women selected through snowball sampling. Data were collected through in-depth interviews and analysed through an inductive approach using MAXQDA 24.5 software. The emerging categories reflected the emotional experience and meanings constructed during the migration process. Results: The narratives revealed five key categories: emotional relief of social suffering through expression, reconstruction of identity and re-signification of experiences, emotional validation and strengthening of identity, empowerment and symbolic resistance, and sense of belonging and connection. Likewise, it was observed that the interviews created therapeutic spaces that strengthened the bond between researcher and participant. Conclusions: The narratives contribute to processing emotions and redefining traumatic experiences, while also allowing greater agency in the participating women. This approach highlights the transformative potential of narrative research to generate situated knowledge and promote inclusive practices in contexts of vulnerability. Full article

The current research article focuses on safeguarding the knotted carpet weaving tradition in Guano, an endangered intangible cultural heritage (ICH) threatened by globalisation and a lack of intergenerational transmission. The research aims to revitalise this artisanal technique through a comprehensive safeguarding plan, using a participatory action research approach. Activities included in-depth interviews, workshops, and the documentation of seven key cultural practises related to the weaving, such as spinning, natural dyeing, and design. The study found that 86% of these practises are highly vulnerable. To address this, the research developed strategies to promote generational transmission, strengthen local collaboration, and connect the craft to territorial identity and sustainable tourism. Proposed actions include intergenerational education programmes, tourism initiatives, and local fairs to boost carpet marketing. The study contributes to the field of ICH by highlighting the role of cultural tourism in preserving at-risk artisanal techniques and community identity. It emphasizes the need for collaborative approaches to safeguard living heritage in a globalized world. The research findings underscore the importance of integrating traditional practices into modern contexts to ensure their long-term sustainability. Full article

Globalization has profoundly impacted architecture by promoting urban homogenization, where global styles and materials overshadow local character. This shift prioritizes standardized functionality and energy efficiency over cultural identity, erasing regional architectural distinctiveness. In historical urban centers, globalization-driven interventions—such as ventilated facades or external thermal insulation systems (ETISs)—often simplify original compositions and alter building materiality, texture, and color. The Ensanche of San Sebastián serves as a case study highlighting this issue. Despite its architectural richness, which includes neoclassical and modernist buildings primarily constructed with sandstone from the Igeldo quarry, unprotected buildings are at risk of unsympathetic renovations. Such changes can distort the identity of what is considered “everyday heritage”, encompassing the residential buildings and public spaces that shape the collective memory of cities. This study presents a replicable methodology for assessing the vulnerability of buildings to facade interventions. By utilizing tools like digital twins, point cloud modeling, and typological analysis, the research establishes criteria for interventions aimed at preserving architectural values. It emphasizes the importance of collaborative efforts with urban planning authorities and public awareness campaigns to safeguard heritage. Ultimately, protecting architectural identity requires balancing the goals of energy efficiency with cultural preservation. This approach ensures that urban landscapes maintain their historical and social significance amidst globalization pressures. Full article